Python OOP’s for Data Science & DA | Inheritance, Polymorphism | Real-Time Project + Streamlit App
In today’s workshop, we explored *Object-Oriented Programming (OOP) in Python* specifically for **Data Analysis and Data Science**.
In this session, we covered the *core characteristics of OOP* in a very simple and practical way.
Topics Covered:
• Classes and Objects
• Encapsulation
• Inheritance
• Polymorphism
• Abstraction
After understanding the concepts, we built a *Real-Time Movie Recommendation System Project* using Python.
We also converted the project into a *Streamlit Web Application* to demonstrate how OOP-based projects can be deployed for real-world data science applications.
Tools & Libraries Used:
• Python
• Pandas
• Object-Oriented Programming (OOP)
• Streamlit
This workshop is perfect for:
• Data Analysis Beginners
• Data Science Students
• Python Learners
• Anyone who wants to understand *OOP concepts with practical implementation*
Project Included in the Session:
Movie Recommendation System using OOP
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